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examples-auto-run

What it does

• Runs uv run examples/run_examples.py with:
  • EXAMPLES_INTERACTIVE_MODE=auto (auto-input/auto-approve).
  • Per-example logs under .tmp/examples-start-logs/.
  • Main summary log path passed via --main-log (also under .tmp/examples-start-logs/).
  • Generates a rerun list of failures at .tmp/examples-rerun.txt when --write-rerun is set.
• Provides start/stop/status/logs/tail/collect/rerun helpers via run.sh.
• Background option keeps the process running with a pidfile; stop cleans it up.

Usage

# Start (auto mode; interactive included by default)
.agents/skills/examples-auto-run/scripts/run.sh start [extra args to run_examples.py]
# Examples:
.agents/skills/examples-auto-run/scripts/run.sh start --filter basic
.agents/skills/examples-auto-run/scripts/run.sh start --include-server --include-audio

# Check status
.agents/skills/examples-auto-run/scripts/run.sh status

# Stop running job
.agents/skills/examples-auto-run/scripts/run.sh stop

# List logs
.agents/skills/examples-auto-run/scripts/run.sh logs

# Tail latest log (or specify one)
.agents/skills/examples-auto-run/scripts/run.sh tail
.agents/skills/examples-auto-run/scripts/run.sh tail main_20260113-123000.log

# Collect rerun list from a main log (defaults to latest main_*.log)
.agents/skills/examples-auto-run/scripts/run.sh collect

# Rerun only failed entries from rerun file (auto mode)
.agents/skills/examples-auto-run/scripts/run.sh rerun

Defaults (overridable via env)

• EXAMPLES_INTERACTIVE_MODE=auto
• EXAMPLES_INCLUDE_INTERACTIVE=1
• EXAMPLES_INCLUDE_SERVER=0
• EXAMPLES_INCLUDE_AUDIO=0
• EXAMPLES_INCLUDE_EXTERNAL=0
• Auto-approvals in auto mode: APPLY_PATCH_AUTO_APPROVE=1, SHELL_AUTO_APPROVE=1, AUTO_APPROVE_MCP=1

Log locations

• Main logs: .tmp/examples-start-logs/main_*.log
• Per-example logs (from run_examples.py): .tmp/examples-start-logs/<module_path>.log
• Rerun list: .tmp/examples-rerun.txt
• Stdout logs: .tmp/examples-start-logs/stdout_*.log

Notes

• The runner delegates to uv run examples/run_examples.py, which already writes per-example logs and supports --collect, --rerun-file, and --print-auto-skip.
• start uses --write-rerun so failures are captured automatically.
• If .tmp/examples-rerun.txt exists and is non-empty, invoking the skill with no args runs rerun by default.

Behavioral validation (Codex/LLM responsibility)

The runner does not perform any automated behavioral validation. After every foreground start or rerun, Codex must manually validate all exit-0 entries:

1. Read the example source (and comments) to infer intended flow, tools used, and expected key outputs.
2. Open the matching per-example log under .tmp/examples-start-logs/.
3. Confirm the intended actions/results occurred; flag omissions or divergences.
4. Do this for all passed examples , not just a sample.
5. Report immediately after the run with concise citations to the exact log lines that justify the validation.

Weekly Installs

74

Repository

openai/openai-a…s-python

GitHub Stars

20.5K

First Seen

Jan 24, 2026

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Installed on

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gemini-cli65

codex65

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claude-code63